Extending the EMMS/bubbling model to fluidization of binary particle mixture: Formulation and steady-state validation

Ahmad, Nouman; Tian, Yujie; Lu, Bona; Hong, Kun; Wang, Haifeng; Wang, Wei

doi:10.1016/j.cjche.2018.04.011

Cited by 16 publications

(9 citation statements)

References 52 publications

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“…The subscript i represents each particle phase, and each particle phase has individual velocity and volume fraction. Ahmad et al [ 26 ] found that the particles inside bubbles had almost no influence on the gas‐solid drag model results. Thus, the necessary assumptions established for the model are: (a) there are no particles in the bubbles; and (b) particles uniformly distribute in the emulsion phase.…”

Section: Bubble Structure‐based Drag Model For Binary Gas‐solid Flowmentioning

confidence: 99%

“…[ 15–25 ] However, the sub‐grid models applied for polydispersed bubbling gas‐solid flow are still in their preliminary stages and there are still many problems to be settled in this area. [ 26–30 ]…”

Section: Introductionmentioning

confidence: 99%

“…[15][16][17][18][19][20][21][22][23][24][25] However, the sub-grid models applied for polydispersed bubbling gas-solid flow are still in their preliminary stages and there are still many problems to be settled in this area. [26][27][28][29][30] Structure-based drag models, which consider the influence of meso-scale structures on the inter-phase drag force within BFBs, have been considered as a potential means of simulating nonuniform monodispersed gassolid flow. [15][16][17]19] Recently, efforts have been made to extend structure-based drag models for monodispersed gas-solid systems to the polydispersed gas-solid systems.…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have made attempts to extend the energy minimization multi-scale (EMMS) drag model based on monodispersed gas-solid systems to compute the binary gas-solid systems. [26][27][28][29][30] Under the framework of the EMMS method, each phase contained two types of particles and surrounding fluidized media. The extended EMMS drag model enabled the pronounced movement of bubbles to be identified, and thus it predicts the segregation behaviour better than the conventional drag model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulation of binary particle segregation for bubbling fluidized beds using polydispersed structure‐based drag model extended from a monodispersed model

Jia

Zou

et al. 2020

Can J Chem Eng

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A bubble structure‐based drag model developed for the monodispersed system has been extended to simulate bi‐dispersed bubbling fluidized beds. Both dense phase and dilute phase are considered to be comprised of two types of particles with different sizes. The derivation of the structure‐based drag coefficient for individual particle based on the force equilibrium principle is proved to be independent of the volume fractions (εsi) of particle i. The multi‐fluid model in the commercial software Ansys Fluent is employed to evaluate the polydispersed drag model for the segregation of binary gas‐particle flows in a bubbling fluidized bed. It is shown that the simulation results predicted by the new structure‐based drag model are in reasonable agreement with experimental data with a 6.34% root mean square error (RMSE). The new structure‐based model can capture the particle distribution at the top region of the fluidized bed well. The bubble behaviour can also be captured by the new model well.

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Section: Bubble Structure‐based Drag Model For Binary Gas‐solid Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of binary particle segregation for bubbling fluidized beds using polydispersed structure‐based drag model extended from a monodispersed model

Jia

Zou

et al. 2020

Can J Chem Eng

View full text Add to dashboard Cite

show abstract

“…Ahmad et al further proposed a new energy minimization multi‐scale (EMMS) drag model that was appropriated for a bubbling fluidized‐bed with bidisperse particles. [ 44,45 ] Tong et al then coupled this new drag model with the continuous phase method and studied the adaption of this bidisperse EMMS drag model. They found that while in a complete fluidization state, this drag model could be used to predict the bed expansion and particle segregation processes of both bidisperse systems.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of flow, heat transfer, and kinetic reaction in a large‐difference bidisperse, circulating fluidized‐bed reactor

et al. 2022

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To study particle bidispersity effect on the comprehensive performance of a gas–solid fluidized system, multi‐field coupling numerical research of large‐difference bidisperse circulating fluidized bed was performed. First, numerical simulation was conducted on the dynamic characteristic of a bidisperse gas–solid system that contained both Geldart A and B particles; heat transfer and reaction performances were then studied with the introduction of a propane dehydrogenation (PDH) kinetic reaction model; and finally, the concept of coupling fluid catalytic cracking (FCC) and PDH processes was proposed, and the feasibility was preliminarily discussed. The results showed that the two particle phases were hierarchically distributed with a pronounced segregation layer due to their large‐difference bidispersity characteristic, the Geldart B‐type particle was in a bubbling fluidizing state, while the Geldart A‐type particle was in a turbulent fluidizing state. With the initialized bed and regeneration temperature set to 973 K, the regenerated catalyst's final, balanced temperature could decrease to 942 K, which demonstrated that a significant decline in contact temperature between the feedstock and catalyst could be achieved in the following FCC risers. Additionally, this coupling process also achieved a nearly complete conversion of propane into propene, with a conversion efficiency of above 95%. The results showed the feasibility of this coupling process, which could optimize FCC riser reaction conditions and further achieve a higher‐valued light gas yield. This research can provide a reference for the study of the bidispersity effect on a gas–solid system, and the introduced coupling process can provide a new model for the FCC process's optimization.

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Effect of cohesive particle addition on bubbling characteristics of gas-solid fluidized bed: Meso-scale mechanism

Wei

et al. 2023

Korean J. Chem. Eng.

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Extending the EMMS/bubbling model to fluidization of binary particle mixture: Formulation and steady-state validation

Cited by 16 publications

References 52 publications

Simulation of binary particle segregation for bubbling fluidized beds using polydispersed structure‐based drag model extended from a monodispersed model

Simulation of binary particle segregation for bubbling fluidized beds using polydispersed structure‐based drag model extended from a monodispersed model

Numerical investigation of flow, heat transfer, and kinetic reaction in a large‐difference bidisperse, circulating fluidized‐bed reactor

Effect of cohesive particle addition on bubbling characteristics of gas-solid fluidized bed: Meso-scale mechanism

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